Internal Short Circuit Fault Diagnosis for Lithium-ion Battery Using a Novel Voltage Prediction Method
Author:
Affiliation:
1. Shandong University,School of Control Science and Engineering,Jinan,China
Funder
National Natural Science Foundation of China
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9727224/9727236/09728097.pdf?arnumber=9728097
Reference8 articles.
1. Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehicles
2. Pseudo-two-dimensional model and impedance diagnosis of micro internal short circuit in lithium-ion cells
3. Online detection of early stage internal short circuits in series-connected lithium-ion battery packs based on state-of-charge correlation
4. Detecting the internal short circuit in large-format lithium-ion battery using model-based fault-diagnosis algorithm
5. Sensor fault detection and isolation for a lithium-ion battery pack in electric vehicles using adaptive extended Kalman filter
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